Build AI Agents with Memory - Complete Guide
Build AI Agents with Memory - Complete Guide
Published 4/2025
Duration: 3h 58m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2 GB
Genre: eLearning | Language: English
Published 4/2025
Duration: 3h 58m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2 GB
Genre: eLearning | Language: English
Learn to Build Smart AI Agents with Memory Using LangChain, LangGraph, and LangMe & Mem0 for Context-Aware Interactions
What you'll learn
- Build AI agents that can remember past interactions and provide context-aware responses using LangChain and LangGraph.
- Understand different types of memory in AI agents: short-term, long-term, and episodic memory.
- Master LangMem for integrating persistent user memory in AI agents for smarter interactions.
- Create a functional AI agent with memory, test it live, and refine its capabilities for real-world applications.
Requirements
- Basic understanding of Python (e.g., installing packages, running scripts).
- Familiarity with APIs or Large Language Models (LLMs) is helpful but not required.
- A computer with internet access for installing required libraries and tools.
- (Optional) Experience with machine learning or AI tools like LangChain, but beginners are welcome!
Description
Unlock the power of AI agents with memory in this hands-on course designed for developers and AI enthusiasts!
You'll dive deep into the essentials of building memory-enabled AI agents using LangChain, LangGraph, and LangMem, Mem0 and Supabase. You'll learn how memory transforms basic agents into intelligent, context-aware systems.
You’ll start by exploring a simple AI agent without memory and uncover its pitfalls—forgetting user interactions, offering repetitive answers, and providing poor user experiences. Then, we’ll move on to introduce LangMem and LangGraph, two powerful tools that bring memory to the forefront, allowing your agent to remember and improve interactions over time.
What You'll Learn:
AI Agents Basics: Understand the fundamentals of AI agents and how memory plays a crucial role in making them smarter.
Memory Types: Explore short-term, long-term, and episodic memory, and see how they enhance your agents.
LangGraph and LangMem: Master these tools to manage conversational and user memory with ease.
Mem0 and Supabase Integrations for Long Term Memory
Hands-on Project: Build your own AI agent with memory, test it live, and see memory in action as your agent remembers user preferences and interactions.
Real-World Application: Learn how to implement your agent in practical scenarios such as chatbots, support agents, and task assistants.
Who This Course is For:
Developers who want to add memory to their AI agents.
AI enthusiasts keen to dive into LangChain and LangGraph.
Beginners with a basic understanding of Python and APIs who want to build smarter AI systems.
By the end of this course, you’ll be able to create memory-enabled AI agents that learn, adapt, and engage with users like never before.
Whether you're building customer support bots, virtual assistants, or intelligent tools, this course will equip you with the skills to take your AI agents to the next level.
Join now and learn how to build AI agents that not only respond but remember, adapt, and improve over time!
Who this course is for:
- Developers who want to level up their skills by adding memory capabilities to their AI agents and create smarter, more interactive systems.
- AI Enthusiasts eager to dive into the world of memory-enabled AI agents and explore cutting-edge tools like LangChain, LangGraph, and LangMem.
- Beginners with basic Python knowledge looking to get hands-on experience building real-world AI applications that remember and adapt to user interactions.
- Anyone interested in building chatbots, virtual assistants, or task automation tools that can learn and remember user preferences for improved engagement and efficiency.
More Info